OmniScholar for LangChain
io.github.luffysolution-svg/omnischolar
Literature, Zotero, PDF, citation, materials, and scientific image tools for research agents.
client:LangChain
transport:stdio
runtime:pypi
Install OmniScholar in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"omnischolar": {
"transport": "stdio",
"command": "uvx",
"args": ["luffysolution-omnischolar"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs